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Data Convert

Convert between structured data formats (JSON, CSV, XML, YAML, TOML).

GET 1 credit /v1/convert/data

curl "https://convert.toolkitapi.io/v1/convert/data?url=https://toolkitapi.io/config.yaml&from_format=yaml&to_format=json"

import httpx

resp = httpx.get(
    "https://convert.toolkitapi.io/v1/convert/data?url=https://toolkitapi.io/config.yaml&from_format=yaml&to_format=json",
)
print(resp.json())

const resp = await fetch("https://convert.toolkitapi.io/v1/convert/data?url=https://toolkitapi.io/config.yaml&from_format=yaml&to_format=json", {
});
const data = await resp.json();
console.log(data);

# See curl example

Response 200 OK

{
  "result": {"name": "example", "version": "1.0.0"},
  "metadata": {"format": "json"}
}

Try It Live

Live Demo

Url

From Format

To Format

Delimiter

Include Header

Has Header

Skip Rows

Root Element

Pretty

Strip Namespaces

Flow Style

Filename

Response

Description

Convert between structured data formats (JSON, CSV, XML, YAML, TOML).

How to Use

1

1. Call this endpoint with `from_format`, `to_format`, and either `data` (inline) or `url`.

2

2. Set any format-specific options: `delimiter`, `has_header`, `skip_rows` (CSV), `root_element`, `pretty`, `strip_namespaces`, `force_list` (XML), `flow_style` (YAML), `document_index` (YAML multi-doc).

3

3. Read the converted payload from `result`.

About This Tool

The unified data converter moves between `json`, `csv`, `xml`, `yaml`, and `toml`. Pass the source either inline (`data`) or via a public `url`, plus format-specific options — delimiters, root element names, pretty-printing, namespace stripping, and more.

This endpoint is the building block behind the individual `-to-` endpoints and is useful when you want to perform cross-cutting conversions in a single call.

Why Use This Tool

Config migration — Move between YAML, TOML, and JSON configuration files
API translation — Convert XML-SOAP responses to JSON before processing
Spreadsheet → API — Turn CSV into JSON for an HTTP API
Export pipelines — Serialize the same dataset in multiple formats at once

Frequently Asked Questions

Which source/target pairs are supported?

All combinations of `json`, `csv`, `xml`, `yaml`, `toml` — 20 pairs in total. CSV implies tabular input; non-tabular JSON can be represented as a single-row CSV of stringified values.

Are nested structures preserved?

In JSON, XML, YAML, and TOML, yes. CSV is flat; nested data is JSON-stringified into cells.

How are type coercions handled?

Numbers, booleans, and nulls are round-tripped between format-native types. Dates are kept as strings.

Start using Data Convert now

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